69 Machine Learning Models jobs in Indore

We're Hiring for Data Science Instructors (100% Teaching Role) (Night Shift Only)

for Full Time & Permanent Remote opportunity!

Vacancy - 5

Minimum 4 years (Full Time) of experience in Teaching/Non Teaching in Data Science is a MUST

Budget - 50-75k Per Month (Gross) (Fixed) + Incentives As per Class Performance

SkillArbitrage is looking for passionate educators to empower aspiring data professionals

What we’re looking for: #Python, #Excel, #SQL, #Tableau, #PowerBI, #ML, and #datavisualization

Substantial Experience in IT (Non Teaching Domain)

Ability to simplify complex concepts with clarity

Strong judgment, creativity, and content development skills

Strong proficiency in English communication

Responsibilities :

Develop and deliver engaging curriculum.

Provide constructive feedback and assess student progress.

Collaborate with students and team members effectively.

If you’re excited to inspire and shape the future of data science, send updated CVs to

You can also directly reach me on (WhatsApp only)

Key Responsibilities:

• Develop, train, and validate predictive and analytical models using machine learning techniques.
• Collaborate with data engineers and business teams to define data requirements and success metrics.
• Deploy machine learning models into production using ML Ops best practices.
• Build automated pipelines for model training, testing, monitoring, and retraining.
• Optimize model performance and ensure scalability and reliability.
• Monitor model drift, performance degradation, and ensure continuous improvement.
• Implement CI/CD practices for machine learning workflows.

Technical Skills Required:

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
• Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML).
• Good understanding of data engineering concepts (ETL, data pipelines, APIs).
• Hands-on with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.
• Strong background in statistics, machine learning algorithms, and model evaluation techniques .
• Familiarity with version control (Git) and CI/CD pipelines.

Preferred Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field.
• Experience in handling large-scale data pipelines and real-time model serving .
• Exposure to feature stores and automated model monitoring.
• Strong problem-solving, analytical, and communication skills.

Winpra is revolutionizing the real estate industry through advanced AI-powered analytics. We're building cutting-edge solutions that combine sophisticated data science and machine learning with real estate expertise to deliver unprecedented insights and automation capabilities through our innovative platform.

Position Overview

We're seeking a Data Science Engineer to join our innovative team and help shape the future of real estate analytics. In this role, you'll develop and implement advanced statistical models, machine learning algorithms, and data pipelines that power our platform's predictive analytics and market insights.

Key Responsibilities

• Design and implement machine learning models for real estate market analysis and prediction 
• Develop and maintain scalable data processing pipelines 
• Create sophisticated statistical models for property valuation and market trends 
• Design and implement reinforcement learning solutions for dynamic pricing and decision optimization 
• Build and optimize data collection and validation processes 
• Implement feature engineering techniques to improve model performance 
• Develop automated reporting systems and interactive dashboards 
• Collaborate with full-stack and AI engineers to integrate models into production 
• Conduct A/B tests and experiments to validate model improvements 
• Document methodologies, algorithms, and technical specifications 
• Monitor and optimize model performance in production

Required Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field 
• Minimum of 3 years of experience in data science / data analytics related domain.
• Strong programming skills in Python and experience with data science libraries (NumPy, Pandas, Scikit-learn, Pytorch/Tensorflow) 
• Proven experience in developing and deploying machine learning models 
• Demonstrated experience in reinforcement learning and its practical applications 
• Expertise in statistical analysis and mathematical modeling 
• Experience with SQL and database management 
• Proficiency in data visualization tools (Matplotlib, Seaborn, D3 or similar) 
• Strong understanding of machine learning algorithms and their applications 
• Experience with version control systems (Git) 
• Excellent problem-solving and analytical skills 
• Strong communication skills to present technical findings to non-technical stakeholders

Preferred Qualifications

• Experience in real estate analytics or related domain 
• Knowledge of deep learning frameworks (TensorFlow, PyTorch) 
• Familiarity with cloud computing platforms (AWS/GCP/Azure) 
• Knowledge of MLOps practices and tools 
• Experience with time series analysis and forecasting 
• Background in geospatial data analysis 
• Contributions to open-source data science projects

What We Offer

• Opportunity to work on cutting-edge AI technology in the real estate sector 
• Collaborative environment with a team of experienced engineers 
• Professional development and growth opportunities 
• Competitive salary and benefits package 
• Remote-friendly work environment

NLP Data Science Intern

Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.

Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.

Our Story

In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.

Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.

Social Impact:

Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.

Our Culture :

Idea Meritocracy:

The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.

Drivers Not Passengers:

We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.

We Figure Out The Answers:

We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.

Customer & Mission Obsessed:

Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.

Learning and growth

We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.

Job Description:

As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.

• Write code for the development of our ML engines and micro-services pipelines.
• use, optimize, train, and evaluate state-of-the-art GPT models.
• research and Develop Agentic pipelines using LLM's.
• research and develop RAG based pipeline using vector DB's .

Essential Requirements:

• prompt engineering and Agentic LLm frameworks like langchain/llama index
• good enough undersanding of vectors/tensors and RAG pipelines
• Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
• In-depth knowledge of DSA, async, python, and containers.
• Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.

Salary Range: ₹15000 - ₹25000

We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.

What You’ll Do

• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Develop predictive models and statistical analyses to support business strategies.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Build dashboards and visualizations to communicate findings effectively to stakeholders.
• Stay ahead of data trends and implement best practices in analytics and machine learning.

What We’re Looking For

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Strong programming skills in Python, R, or SQL.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Solid understanding of machine learning algorithms and statistical methods.
• Excellent problem-solving and communication skills.
• A curious mindset with a passion for exploring data.

Why Join Us?

• Opportunity to work on exciting, high-impact projects.
• Collaborative and supportive work environment.
• Resources for professional development and growth.
• A chance to shape the future of data-driven decision-making.

Job description

Company Description

Live Connections is a search and recruitment organization that specializes in finding and placing professionals across all sectors. With over 25 years of cumulative recruitment experience, Live Connections has placed over 20,000 professionals across 350+ clients in multiple sectors and functions. The company has a global presence in 4 countries and is known for its professional, well-trained, and customer-centric team of engineers and MBA's who are relationship-driven and handle clients or candidates with a human quotient.

Position: Director

Experience: 16+ Years

Budget: 50–55 LPA

Mode: Remote

Key Responsibilities:

• Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the

mortgage industry, ensuring data quality and relevance for model training.

• Model Development and Fine-Tuning:Research and implement state-of-the-art NLP models,

focusing on pre-training as well instruction tuning pre-trained LLMs for mortgage-specific

applications.Utilize techniques like RLHF to improve model alignment with human preferences

and enhance decision-making capabilities.

• Algorithm Implementation: Develop and optimize machine learning algorithms to enhance

model performance, accuracy, and efficiency. Experiment with different architectures and open-

source models to identify the best fit for project requirements.

• Collaboration: Work with domain experts to incorporate industry knowledge into model

development, ensuring outputs are relevant and actionable.

• Experimentation: Conduct experiments to validate model hypotheses, analyze results, and

iterate on model improvements.

• Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility.
• Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, implementing strategies to mitigate them.

Required Skills:

• Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency

in Python and experience with ML frameworks such as TensorFlow or PyTorch.

• NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face

Transformers) for developing language models.

• Data Handling: Proficiency in handling large datasets, feature engineering, and statistical

analysis.

• Problem Solving: Strong analytical skills with the ability to solve complex problems using data- driven approaches.
• Communication: Excellent communication skills to effectively collaborate with technical teamsand non-technical stakeholders.

Preferred Qualifications:

Educational Background: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a

related field.

Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing

solutions.

Ethics Awareness: Understanding of ethical considerations in AI development, including bias

detection and mitigation.

Interested candidate please drop your updated resumes at OR Contact us at

Job Description: Data Science Lead, Clinical Intelligence

Company Overview

Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.

Job Title

Data Science Lead, Clinical Intelligence

Location

Pune, India (hybrid office/remote) or fully remote within India.

Job Summary

We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.

Key Responsibilities

• Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
• Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
• Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
• Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
• Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
• Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
• Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.

Qualifications and Requirements

• Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
• 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
• Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
• Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
• Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
• Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
• Based in India; open to remote or hybrid work in Pune.
• Strong leadership and communication skills for global client collaboration.

Preferred Skills

• Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
• Knowledge of SaaS platforms and API integrations for client data.
• Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
• Expertise in mitigating data biases for fair AI predictions.

What We Offer

• Highly Competitive salary based on experience with performance bonuses.
• Flexible remote/hybrid work, health benefits, and learning opportunities.
• Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
• Collaborative, global team environment.

Role Overview: Business Insight Manager – AI & Data Science

Location: Remote/ Indore/ Mumbai/ Chennai/ Gurugram

Work Mode: Remote

Notice Period: Max. 30 Days (45 Days for Notice Serving)

Interview Process: 2 Rounds

Interview Mode: Virtual Face-to-Face

Industry: Must be from a BPO/ KPO/ Shared Services or Healthcare Org.

Non-Negotiables:

• Lean six sigma - black belt certified
• Experience in Transformation projects - Process automation, business automation, digital transformation
• Data Science exp / Data analytics and AI/ML project experience

Key Responsibilities:

1. Strategic Transformation Leadership

• Lead enterprise-wide transformation programs with a focus on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business goals, driving measurable outcomes in areas such as productivity, billable utilization, SLA adherence, and key customer experience metrics (CSAT, FCR, etc.).

2. AI/ML-Driven Innovation

• Identify and champion use cases for AI technologies, including machine learning, generative AI, NLP, predictive analytics, and automation across key functions such as quality assurance, workforce management, fraud detection, and content moderation.
• Collaborate with internal teams (data science, product, and engineering) to develop AI/ML solutions, proof-of-concepts (POCs), and production-ready deployments.

3. Process Reengineering & Six Sigma

• Leverage Lean Six Sigma (Black Belt certified) methodologies to redesign workflows, eliminate waste, and minimize variation in critical business processes.
• Conduct value stream mapping, root cause analysis (RCA) workshops, and process simulations to uncover opportunities for process optimization and operational efficiency.
• Develop, track, and report on key transformation KPIs, including AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.

4. Cross-Functional Program Execution

• Partner with business leaders, operations heads, and IT stakeholders to successfully execute transformation initiatives that deliver tangible ROI.
• Manage complex transformation roadmaps using agile governance, ensuring stakeholder alignment, change management, and effective risk mitigation.

5. Capability Building & Change Management

• Lead the organizational shift towards greater digital maturity, focusing on areas like citizen development, AI literacy, and digital transformation.
• Drive the creation and operationalization of a Center of Excellence (COE) for AI-augmented operations, fostering continuous improvement across business functions.

Required Qualifications:

Education & Experience:

• Bachelor’s degree in engineering, Computer Science, or a related field (Master’s preferred).
• Six Sigma Black Belt certification (mandatory).
• 12+ years of experience in BPO / KPO / Shared Services, with demonstrated ownership of large-scale transformation projects.
• 5+ years of experience leading AI/ML initiatives, with a deep understanding of the entire model lifecycle, from development to deployment and AI governance.

Technical Skills & Expertise:

• Proficiency in tools such as Python, SQL, Power BI, Tableau, with exposure to AI platforms (e.g., Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command of automation technologies, particularly RPA tools like UiPath, Blue Prism, or Power Automate.
• In-depth knowledge of BPO metrics and operational challenges, especially in areas like Customer Experience (CX), Finance & Accounting (F&A), Risk Management, and Content Operations.

This role offers an exciting opportunity to lead strategic transformation using AI, data science, and Six Sigma. You'll drive cost-efficiency, process optimization, and innovation across global BPO operations, while leading cross-functional teams to deliver impactful, AI-powered solutions. A perfect blend of technical leadership and business transformation.