173 Director Of Data Science jobs in Hyderabad
Associate Director Data Science
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- Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the definition, implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its usefull lifecycle. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently set strategy, manage budget, ensuring appropriate staffing and coordinating projects within the area supervised. If managing a team: empowers the team and provides guidance and coaching, with limited guidance from more senior managers.
Major accountabilities:
- Innovate by transforming the way to solve a problem using Effective data management, Data Science and Artificial Intelligence.
- Articulates solutions /recommendations to business users.
- Provides pathways to manage data effective for analytical uses.
- Presents analytical content concisely and effectively to non-technical audiences and influences non-analytical business leaders to drive major strategic decisions basis analytical inputs -Coordinates, prioritize and efficiently allocates the team resources to critical initiatives: plans resources proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and enable the team to drives issues to resolution, balances multiple priorities and minimizes surprise escalations -Collaborates with internal stakeholders, external partners and Institutions and cross-functional teams to solve critical business problems, propose operational efficiencies and innovative approaches.
- Proactively evaluates the need of technology and novel scientific software, visualization tools and new approaches to computation to increase efficiency and quality of the Novartis data sciences practices -Provides agile consulting, guidance and non-standard exploratory analysis for unplanned urgent problem -Independently identifies research articles and reproduce / apply methodology to Novartis business problems -Publishes in peer reviewed journals, helps organizing sessions at external professional conferences and contributes to cross-industry work streams in external relevant working group -Makes right choices from a breadth of tools, data sources and analytical techniques to answer a wide range of critical business questions -Ensures exemplary communication with all stakeholders including senior business leaders -Contribute to the development of Novartis data management and data science capabilities.
- May lead a Team / Function or in-depth technical expertise in a scientific / technical field depending upon the career path (Manager/Individual contributor) -Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples (where applicable)
Key performance indicators:
- Selection by program of recommended data management, data science strategy -Achievement and governance endorsement of data management and advanced analytics program tollgates -Successful implementation based on KPI's and data management, advanced analytics program objectives
Minimum Requirements:
Work Experience:
- 10+ years of relevant experience in Data Science.
Skills:
- Apache Spark.
- Artificial Intelligence (Ai).
- Big Data.
- Data Governance.
- Data Literacy.
- Data Management.
- Data Quality.
- Data Science.
- Data Strategy.
- Data Visualization.
- Machine Learning (Ml).
- Master Data Management.
- Python (Programming Language).
- R (Programming Language).
- Statistical Analysis.
Why Novartis:
Our purpose is to reimagine medicine to improve and extend people's lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us Learn more here:
You'll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together?
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up:
Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally:
Division
Corporate
Business Unit
Corporate
Location
India
Site
Hyderabad (Office)
Company / Legal Entity
IN10 (FCRS = IN010) Novartis Healthcare Private Limited
Functional Area
Data and Digital
Job Type
Full time
Employment Type
Regular
Shift Work
No
Accessibility and accommodationNovartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to (email protected) and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Associate Director Data Science
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Our Client is a Global Leader and this is for the Capability centre in Hyderabad
We need someone
- Hands on
- Manage a growing team of 10-20 highly qualified data Scientists, quality, Engineers
- Work with Leadership stakeholders from Business- Marketing, Product, Risk - across Europe & US
- Impeccable Communication Skills
- It would be an added advantage if you have experience in the US or EU
Role & responsibilities
- Lead and inspire a cross-functional Data Science Squad, ensuring high-quality delivery of end-to-end solutions across product, marketing, and operations domains.
- Set the long-term strategic vision for the Data Science squad, aligning with broader business goals
- Display entrepreneurial traits by partnering with stakeholders to identify new AI/ML opportunities across the businesses, build the project pipeline, define business problems, and design data science solutions
- Manage full model lifecyclefrom data exploration and feature engineering to model training, validation, deployment, and performance monitoring.
- Role-model cross-functional leadership, partnering closely with Product, Tech, and Business counterparts
- Represent the Data Science squad in executive forums, contributing to center-wide governance, prioritization, and stakeholder engagement.
- Establish a culture of storytelling, impact, and continuous improvement across the team
Preferred candidate profile
- 10+ years of experience in the data space, including hands-on exposure to data science, model development, and stakeholder delivery.
- Demonstrated experience working on B2C-focused models such as customer segmentation, recommender systems, marketing attribution, churn prediction, or personalization.
- Deep understanding of ML techniques, their practical applications, and limitations. Strong experience with modern data science languages and tools, including:
- Languages: Python (preferred), SQL
- Libraries/Frameworks: scikit-learn, XGBoost, LightGBM, pandas, NumPy, PySpark
- Statistical foundation: Weights & Biases, A/B testing frameworks
- Platforms: Databricks, AWS (S3, SageMaker), GCP (BigQuery, Vertex AI)
- Visualization: Tableau, PowerBI
- Understanding of data engineering principles and experience working with large-scale structured and unstructured data is preferred.
- Proven ability to engage and influence stakeholders through effective storytelling and excellent communication skills.
- Experience in driving alignment and delivering impact in matrixed or global organizations.
- Exposure to product-led or consumer technology companies is strongly preferred.
- Deep understanding of ML Techniques, their practical applications, and limitations"
Associate Director - Data Science
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Job Description
Job Title: Associate Director, Data Science.Chennai | Hyderabad | BengaluruTiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our + tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. About the role As an Associate Director, you will work on a broad range of cutting-edge data analytics and machinelearning problems across a variety of industries; This role involves a combination of hands-oncontribution, customer engagement, and technical team management.On a typical day, you might● Engage with clients to understand their business context● Act as a Subject Matter Expert & lead a team of data scientists and engineers to embed AI andanalytics into the business decision processes.● Develop comprehensive end to end advanced analytics solutions for clients● Manage client expectations and delivery solutions as agreed upon.● Consultative and client first attitude to handle escalations and taking them to closure.● Directly work with Client and establish yourself as the single point of contact on technicalaspects for the client.● Meet the project team, customer stakeholders, and internal business units to devise creativeanalytical approaches to solve complex business problems● Develop and enhance algorithms and models to solve a business problem● Maintaining all models along with development and updating of code and processdocumentation● Ideate with your peers to design data science solution approaches to unstructured problems,conduct quantitative analyses, and interpret results● Interact and collaborate with multiple teams (Consulting & Engineering) and variousstakeholders to meet deadlines, to bring Analytical Solutions to life. Desired Skills and Experience ● 10+ years of relevant experience in Data Science● Strong analytical skills with proficiency in application of statistical analysis and machinelearning algorithms like Liner Regression, Logistic Regression, Random Forest, Boosting Trees,SVM, ARIMAX, LSTM, Deep Learning etc.● Ability to research and learn from the state-of-the-art in AI/ML and implement/prototypesolution● Actively involved in developing and maintaining end to end data science solutions usingrelevant programming languages (e.g. Python/R/Spark)● Experience in working on cloud platforms (e.g. AWS/AZURE/GCP) and big data systems (e.g.Hadoop, Snowflake)● Enjoys leading & coaching a sizeable team.● Enthuse to collaborate with various stakeholders across the organization and take completeownership of deliverables.● In depth experience in any of the following domains: Retail, CPG, Insurance, Healthcare, Banking,Finance, Manufacturing and/or been involved in solving use cases related to MarketingAnalytics, Pricing, Demand and Inventory Forecasting, Market Mix Model, Trade PromoOptimization etc. will be an added advantageWe believe in equal opportunities for all and invite you to come join us as we build the world’s best AI and advanced analytics team. Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience.Director - Data Science (Operations)
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Job Description
Job Title: Director - Data Science (Operations) India Locations: Chennai | Hyderabad | Bangalore Tiger Analytics is a global leader in AI and analytics, helping Fortune companies solve their toughest challenges. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Come work with us to provide certainty to shape a better tomorrow.We are a Great Place to Work-Certified™ (-24) and have been consistently ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times, Analytics India Magazine, etc. no-style="">Overview Tiger Analytics seeks a dynamic and visionary Senior Leader to lead our Data Science engagements. The ideal candidate will have extensive experience building and leading a team of high-class professionals, managing data science projects and closely engaging with clients to ensure smooth end-to-end execution. This role requires a strategic mix of oversight and hands-on involvement in project leadership, resource management, team development, and overall growth of our data science practice. Key Responsibilities Your role will include (but not be limited to) the following activities:
Director - Data Science, CPG Expert
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Job Title: Director - CPG Data Science.Chennai | Hyderabad | BengaluruTiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our + tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. About the role If you are passionate to work on unstructured business problems that can be solved using data, we wouldlike to talk to you.uf0b7 You will work on some of the latest applications of data science to solve complex businessproblemsuf0b7 You will develop comprehensive and scalable end to end advanced analytics solutions for clientsuf0b7 You will work as part of a global team to solve problems in a computationally efficient manneruf0b7 You will apply a broad range of techniques and theories from statistics, machine learning, CV,NLP, Gen AI and business intelligence to create actionable business insightsuf0b7 You will be responsible for communicating results to technical as well as business teams andwork with them to deploy the analytics solutionsuf0b7 You will significantly contribute to the growth of Tiger as a world class analytics service provider Desired Skills and Experience uf0b7 10+ yrs experience in delivering data science solutions / servicesuf0b7 Strong analytical skills with proficiency in application of statistical analysis and machine learningalgorithmsuf0b7 Ability to research and learn from the state-of-the-art in AI/ML and implement/prototypesolutionuf0b7 Ability to engage with the client stakeholders to structure and drive discussions for unstructuredproblem or questions from the client.uf0b7 Ability to understand business problems, articulate, ideate & converge on solution approach anddevelop analytical solutions with measurable Business outcomesuf0b7 Ability to project yourself as a technical decision maker and thought leader in the data sciencespaceuf0b7 Ability to identify new opportunities and extend existing opportunity. Convert capability torevenue stream that can be offered to clients as offeringsuf0b7 Ability to work across multiple clients and projects and lead/mentor junior team membersuf0b7 Hands on development experience in relevant programming languages (Python/R/Spark) to buildand review advanced analytic modelsuf0b7 Experience in working on cloud platforms (e.g. AWS/AZURE/GCP) and big data systems (e.g.Hadoop, Snowflake)uf0b7 Bachelor’s degree or higher in Data Science, Data Analytics or a related quantitative field Good To Have uf0b7 In depth experience in any of the following domains: Retail, CPG, Insurance, Healthcare, Banking,Finance, Manufacturing.uf0b7 Extensive experience in solving problems related to Marketing Analytics, Pricing, Demand andInventory Forecasting, Market Mix Model, Trade Promo OptimizationBenefitsSignificant career development opportunities exist as the company grows. The position offers a uniqueopportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree ofindividual responsibility.We believe in equal opportunities for all and invite you to come join us as we build the world’s best AI and advanced analytics team. Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience.Director/ Associate Director- Data Science (CPG/ BFS/ Retail/Insurance)
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Job Description
Your role as a DIRECTOR/AD-DATA SCIENCE Chennai | Hyderabad | Bengaluru Provides the opportunity for you to • Work on highly complex data science problems that add significant business value to our clients. • Guide and showcase your technical leadership to a multidisciplinary team of ML engineers, Data Scientists, and Application Engineers. • Collaborate with stakeholders to define and execute the technical strategy for data, machine learning, applications, and insights. • Experience an entrepreneurial setup where individuals can shape their growth paths. • Receive mentorship from deeply knowledgeable peers and industry veterans. • Leverage your deep expertise in specific domain like Healthcare/ Pharma/ Financial Service/ Insurance/ Supply Chain/ Customer/ Marketing Analytics and help grow Tiger - support campaigns, proposals. • Champion best analytics, data science, and machine learning practices. Desired Skills and Experience uf0b7 10+ yrs experience in delivering data science solutions / servicesuf0b7 Strong analytical skills with proficiency in application of statistical analysis and machine learningalgorithmsuf0b7 Ability to research and learn from the state-of-the-art in AI/ML and implement/prototypesolutionuf0b7 Ability to engage with the client stakeholders to structure and drive discussions for unstructuredproblem or questions from the client.uf0b7 Ability to understand business problems, articulate, ideate & converge on solution approach anddevelop analytical solutions with measurable Business outcomesuf0b7 Ability to project yourself as a technical decision maker and thought leader in the data sciencespaceuf0b7 Ability to identify new opportunities and extend existing opportunity. Convert capability torevenue stream that can be offered to clients as offeringsuf0b7 Ability to work across multiple clients and projects and lead/mentor junior team membersuf0b7 Hands on development experience in relevant programming languages (Python/R/Spark) to buildand review advanced analytic modelsuf0b7 Experience in working on cloud platforms (e.g. AWS/AZURE/GCP) and big data systems (e.g.Hadoop, Snowflake)uf0b7 Bachelor’s degree or higher in Data Science, Data Analytics or a related quantitative fieldBenefitsSignificant career development opportunities exist as the company grows. The position offers a uniqueopportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree ofindividual responsibility.We believe in equal opportunities for all and invite you to come join us as we build the world’s best AI and advanced analytics team. Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience.Data Science
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Company Description
Belen ITS is a fast-growing technology company specializing in Java, Angular, and Artificial Intelligence. Founded in 2021, the company has over a decade of industry experience in delivering transformative, tailor-made solutions in software development, QA, AI, and data analytics. With 200+ skilled consultants in the USA and a growing team in India, Belen ITS is known for its innovative projects and flexible, inclusive culture. Headquartered in San Antonio, Texas, and with a global delivery center in Hyderabad, India, Belen ITS provides agile, scalable, and cost-effective IT solutions for medium to large enterprises.
Role Description
This is a full-time, on-site role for a Data Science & Analytics professional located in Hyderabad. The role involves applying data science techniques to solve business problems, performing data analysis, and leveraging analytical skills to provide actionable insights. The professional will work closely with cross-functional teams to gather data, perform statistical analysis, and develop predictive models. Daily tasks include data mining, reporting, and visualization to support decision-making processes.
Qualifications
- Possess strong Data Science and Data Analytics skills
- Proficient in Data Analysis and Statistics
- Excellent Analytical Skills
- Proficiency with programming languages such as Python or R
- Experience with data visualization tools like Tableau or Power BI
- Ability to work collaboratively in a team environment
- Strong problem-solving skills
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- Experience in the IT industry is a plus
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Data Science
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Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at
Job Title: ML Engineer
Position: Lead Analyst
Experience: Years
Category: Software Development/ Engineering
Shift: General (5 Days work from Office)
Main location: India, Tamil Nadu, Chennai
Position ID: J
Employment Type: Full Time
Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience.
Position Description: We are seeking a highly experienced and innovative Senior AI Engineer to join our rapidly expanding AI/ML team. With 7+ years of hands-on experience, you will be instrumental in the end-to-end lifecycle of AI/ML solutions – from research and prototyping to developing, deploying, and maintaining production-grade intelligent systems. You will work on challenging problems, collaborate closely with data scientists, product managers, and software engineers, and drive the adoption of cutting-edge AI technologies across our platforms.
Your future duties and responsibilities
- Model Development & Implementation: Design, develop, train, and optimize robust and scalable machine learning models (e.g., deep learning, classical ML algorithms) for various applications.
- Production Deployment (MLOps): Build and maintain end-to-end MLOps pipelines for model deployment, monitoring, versioning, and retraining, ensuring reliability and performance in production environments.
- Data Engineering for AI: Work with large, complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for model training and inference.
- Research & Prototyping: Explore and evaluate new AI/ML technologies, algorithms, and research papers to identify opportunities for innovation and competitive advantage. Rapidly prototype and test new ideas.
- Performance Optimization: Optimize AI/ML models and inference systems for speed, efficiency, and resource utilization.
- Collaboration & Communication: Partner closely with Data Scientists to transition research prototypes into production-ready solutions. Collaborate with Software Engineers to integrate AI models into existing products and platforms. Communicate complex AI concepts to both technical and non-technical stakeholders.
- Code Quality & Best Practices: Write clean, maintainable, and well-documented code. Advocate for and implement software engineering best practices within the AI/ML lifecycle.
- Monitoring & Maintenance: Implement robust monitoring for model performance, data drift, and system health in production, and troubleshoot issues as they arise.
Required qualifications to be successful in this role
Must-Have Skills:
- 7+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions.
- Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras.
- Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
- Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines).
- Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases.
- Experience with data preprocessing, feature engineering, and handling large datasets.
Good-to-Have Skills:
- Familiarity with software development best practices including version control (Git), code reviews, and CI/CD.
CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
Data Science
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JOB RESPONSIBILITY
• Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization.
• Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models.
• Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements.
• Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments.
• Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment.
• Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development.
• Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC.
• Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs.
• Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling.
• Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function.
• Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment.
QUALIFICATION
Minimum education: Bachelor's degree in any Engineering Stream
Specialized training, certifications, and/or other special requirements: Nice to have
Preferred education: Computer Science/Engineering.
EXPERIENCE
Minimum relevant experience - 4+ years in AI Engineering
SKILLS AND COMPETENCIES
Technical Skills:
• Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow)
• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques
• Experience with big data processing using Spark for large-scale data analytics
• Version control and experiment tracking using Git and MLflow
• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.
• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.
• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.
• MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.
• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.
• LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.
• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.
• Experience in creating LLD for the provided architecture.
• Experience working in microservices based architecture.
Domain Expertise:
• Strong mathematical foundation in statistics, probability, linear algebra, and optimization
• Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation
• Expertise in feature engineering, embedding optimization, and dimensionality reduction
• Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing
• Experience with RAG systems, vector databases, and semantic search implementation
• Proficiency in LLM optimization techniques including quantization and knowledge distillation
• Understanding of MLOps practices for model deployment and monitoring
Professional Competencies:
• Strong analytical thinking with ability to solve complex ML challenges
• Excellent communication skills for presenting technical findings to diverse audiences
• Experience translating business requirements into data science solutions
• Project management skills for coordinating ML experiments and deployments
• Strong collaboration abilities for working with cross-functional teams
• Dedication to staying current with latest ML research and best practices
• Ability to mentor and share knowledge with team members