200 Machine Learning Engineer jobs in Indore

Machine Learning Engineer (Remote)

Company: Genista Biosciences (San Jose, CA – US-based Biotech Startup)

Genista Biosciences is a fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology. We’re looking for a Machine Learning Engineer to design, build, and deploy scalable ML models that power our cutting-edge food safety platform.

What You’ll Do:

• Design, train, and deploy scalable machine learning models for real-world biotech applications
• Work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions
• Optimize model performance and ensure reliability in production environments
• Implement pipelines for data preprocessing, feature engineering, and model monitoring
• Collaborate with backend teams to integrate ML models into applications and APIs

Requirements:

• 2–5 years of experience as an ML Engineer or in a similar role
• Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience deploying models at scale (cloud platforms: AWS/GCP/Azure )
• Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines)
• Solid understanding of data structures, algorithms, and software engineering best practices
• Experience with scientific/biotech/healthcare data is a plus

Perks:

• 100% remote
• Opportunity to apply ML in high-impact biotech solutions
• Startup culture: autonomy, innovation, and ownership

Job Title: Machine Learning (ML) Engineer

Experience: 6–8 Years

Location: Pune (Remote)

Openings: 5

Notice Period: Immediate Joiners – 15 Days

About the Role

We are seeking highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. This role is perfect for professionals who excel in building, training, and deploying ML models at scale, with hands-on experience in modern ML frameworks and a strong interest in Large Language Models (LLMs) such as OpenAI GPT and Hugging Face Transformers .

Key Responsibilities

• Design, develop, and deploy machine learning models for production applications.
• Build and optimize end-to-end ML pipelines using PySpark and MLflow .
• Work with structured & unstructured data using Pandas, NumPy, and other libraries.
• Train, fine-tune, and evaluate models using Scikit-learn, TensorFlow, or PyTorch .
• Integrate and experiment with LLMs (GPT, Hugging Face Transformers, etc.) .
• Collaborate closely with data engineers, product managers, and developers .
• Monitor and improve model accuracy, reliability, and performance .
• Ensure reproducibility and proper versioning of ML experiments using MLflow .

Required Skills

• Strong programming expertise in Python .
• Solid understanding of ML algorithms, model development, and evaluation .
• Hands-on experience with PySpark for large-scale data processing.
• Proficient in MLflow for tracking experiments and lifecycle management.
• Strong knowledge of Pandas, NumPy, and Scikit-learn .
• Familiarity/experience with LLMs (OpenAI, Hugging Face, etc.) .
• Good understanding of MLOps principles and best practices for deployment.

Preferred Qualifications

• Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related fields.
• Exposure to cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
• Strong analytical, problem-solving, and teamwork skills.

We seek a Machine Learning Engineer colleague to join our world-class client, one of the

biggest and most advanced IT company.

• Remote work

• Employment/Contract Type: Contract

• Location: India

• Duration: 1 year (with potential to be extended)

• Hours per Week: 40 (Full-time)

Description:

We are seeking an experienced Machine Learning Engineer to join our growing team of

consultants. In this role, you will be responsible for designing, developing, and deploying machine

learning models and algorithms to solve complex business challenges with Databricks. You will work

closely with data scientists, data engineers, and business stakeholders to build scalable and efficient

machine learning solutions.

Key Responsibilities

● Design and implement machine learning models and algorithms with Databricks, including

predictive analytics, natural language processing, computer vision, and more.

● Lead the end-to-end development process, from data collection and preprocessing to model

deployment and monitoring.

● Collaborate with cross-functional teams to understand business requirements and translate

them into technical solutions.

● Optimize and fine-tune models for performance, accuracy, and scalability in a production

environment.

● Stay up-to-date with the latest advancements in machine learning and AI, and apply them to

improve existing systems.

● Contribute to the development of machine learning infrastructure, including data pipelines,

model serving frameworks, and monitoring tools.

● Collaborate with client stakeholders to drive solutions to solve business problems.

Qualifications

● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related

field; PhD is a plus.

● 3+ years of experience in machine learning engineering or related fields.

● 2+ years of experience with Databricks

● Proficiency in programming languages such as Python, R, or Java, with a strong understanding

of machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

● Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment and

monitoring.

● Strong problem-solving skills and ability to work in a fast-paced environment.

● Excellent communication and collaboration skills, with a track record of working effectively in

cross-functional teams

About Dexian

• Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Location:  Remote

Type:  Full-Time

Experience Required : Minimum 5 Years

About this Role:

Excelgig, a leading digital solutions partner, is hiring on behalf of Unicorn Labs B.V. (Netherlands) to expand their global AI team. We are looking for an AI Specialist with strong expertise in custom model development, training and end-to-end pipeline creation . This is a unique opportunity to contribute to impactful, large-scale AI solutions while working with an international team.

Responsibilities:

• Design and develop custom machine learning and deep learning models for business-specific problems (NLP, computer vision, predictive modeling, recommendation systems, etc.).

• Build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.

• Collaborate with cross-functional teams across India and Europe to integrate AI solutions into real-world products.

• Ensure high-performance, scalable, and production-ready deployment using MLOps practices.

• Optimize models with advanced techniques (hyperparameter tuning, distributed training, GPU optimization).

• Contribute to research initiatives and adopt the latest innovations in LLMs, generative AI, and automation frameworks.

• Document technical processes, architectures, and pipeline workflows for reproducibility and knowledge sharing.

Requirements:

• Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Data Science, or related field.

• 5+ years of hands-on experience in developing AI/ML solutions.

• Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, Hugging Face.

• Proven track record in building and managing ML pipelines (Airflow, Kubeflow, MLflow, Prefect, etc.).

• Proficiency in data preprocessing, feature engineering, and model evaluation techniques.

• Hands-on experience with cloud AI/ML platforms (AWS Sagemaker, Azure ML, or GCP Vertex AI).

• Familiarity with containerization and orchestration (Docker, Kubernetes).

• Strong problem-solving ability and ability to work independently in a remote, fast-paced environment.

Preferred Skills

• Experience in fine-tuning Large Language Models (LLMs).

• Exposure to real-time/streaming data processing (Kafka, Spark Streaming).

• Knowledge of microservices and API development for model integration.

• Experience with generative AI and reinforcement learning techniques.

Other Details

• Start Date: Immediate (in 10-15 Days).
• Equipment: Candidate must have their own laptop/device to work with.

What We Offer

• Work on international AI projects with Unicorn Labs B.V. (Netherlands).

• Competitive salary and growth opportunities.

• Remote-first, flexible working culture with cross-border collaboration.

• Access to cutting-edge AI research and tools.

• A chance to own end-to-end AI solutions with autonomy and creativity.

Machine Learning Engineer

About Astreya:

Astreya offers comprehensive IT support and managed services. These services include Data

Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and

IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software

Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating

seamless interactions between people and technology to help organizations achieve operational

excellence and growth.

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms to solve complex business problems and drive data-driven decision making
• Collaborate with cross-functional teams including data engineers, software engineers, and business stakeholders to understand requirements and translate business objectives into scalable ML solutions
• Build and maintain robust ML pipelines for data preprocessing, feature engineering, model training, validation, and deployment
• Optimize model performance through hyperparameter tuning, feature selection, and algorithmic improvements
• Implement MLOps best practices including model versioning, monitoring, and automated retraining workflows
• Ensure data quality, integrity, and security throughout the ML lifecycle
• Scale ML systems to handle large datasets and high-throughput inference requirements
• Conduct A/B testing and experimentation to validate model performance and business impact
• Monitor deployed models for drift, performance degradation, and bias detection
• Create comprehensive documentation including technical specifications, model cards, and deployment guides for stakeholders

Professional & Technical Skills:

• Must have strong proficiency in Python and experience with core ML libraries such as scikit-learn, XGBoost, LightGBM, and CatBoost
• Must have hands-on experience with deep learning frameworks including TensorFlow, PyTorch
• Must have solid understanding of machine learning algorithms, statistical methods, and model evaluation techniques
• Must have experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies Docker or Kubernetes
• Need to have proficiency in SQL and experience working with both structured and unstructured datasets
• Need to have knowledge of big data technologies such as Spark, Hadoop, or distributed computing frameworks
• Must be familiar with MLOps tools and platforms such as MLflow, Kubeflow, or similar model lifecycle management systems
• Must have experience with version control systems (Git) and CI/CD pipelines for ML workflows
• Need to have knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, Plotly, or Tableau
• Must be familiar with software engineering best practices, including code testing, debugging, and performance optimization
• Need to have understanding of software development methodologies such as Agile or Scrum
• Possess excellent analytical and problem-solving skills with ability to work independently and in team environments

Additional Information:

• Must have Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field
• Preferred 3+ years of experience in machine learning engineering or related roles
• Preferred experience with real-time inference systems and model serving architectures

Preferred knowledge of specialized domains such as computer vision, natural language processing, or recommendation systems

Branch Overview

Branch delivers world-class financial services to the mobile generation. With offices in the United States, Nigeria, Kenya, and India, Branch is a for-profit socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone everywhere deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility.

Branch’s mission-driven team is led by the founder and former CEO of Kiva.org. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. In 2019, Branch announced our Series C and garnered more than $100M in funding with investments from leading Silicon Valley firms, including Andreessen Horowitz, Trinity Capital, Foundation Capital, Visa, and the International Finance Corporation (IFC).

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As a product-driven org, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we create an environment where everyone feels empowered to propose solutions to the challenges we face.

We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive.

Job Overview

Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.

Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.

Responsibilities

• Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.
• Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.
• Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
• Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.

Qualifications

• 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.
• Excellent software engineering and programming skills, especially Python and SQL.
• A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.
• A deep understanding of using cloud computing infrastructure and data pipelines in production.
• Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.
• Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.
• The drive to make a positive impact on customers' lives.

Benefits of Joining

• Mission-driven, fast-paced, and entrepreneurial environment
• Competitive salary and equity package
• A collaborative and flat company culture
• Fully-paid Group Medical Insurance and Personal Accidental Insurance
• Unlimited paid time off, including personal leave, bereavement leave, and sick leave
• Fully paid parental leave — 6 months maternity leave and 3 months paternity leave
• Monthly WFH stipend alongside a one-time home office set-up budget
• $500 Annual professional development budget
• Team meals and social events — Virtual and In-person

We’re looking for more than just qualifications -- if you’re unsure that you meet the criteria but identify with our vision of providing equal opportunity to everyone to access financial services, please do not hesitate to apply!

Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law.

About the Role:

We are looking for an experienced Machine Learning Engineer to design, build, and deploy ML models that power business-critical solutions. You will collaborate with cross-functional teams to deliver scalable ML systems, driving innovation and measurable business outcomes.

Key Responsibilities:

• Design, develop, and deploy ML models (regression, classification, clustering, deep learning).
• Build and optimize data pipelines, feature engineering, and training workflows.
• Deploy models to production using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Monitor model performance, retrain, and maintain production-ready systems.
• Develop APIs and integrate ML solutions with enterprise applications.
• Stay updated on ML/AI trends and contribute innovative solutions.
• Collaborate with data scientists, engineers, and product managers to align with business goals.

Qualifications:

• 3+ years of experience in ML engineering or related field.
• Strong proficiency in Python ; knowledge of Java/Scala/R is a plus.
• Expertise with ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras .
• Hands-on with data tools: Pandas, NumPy, Spark .
• Experience with ML deployment (SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe).
• Familiarity with databases (SQL, MongoDB, Cassandra ) and version control (Git ).
• Understanding of DevOps/MLOps practices.
• Excellent problem-solving, communication, and collaboration skills.

Greetings.

TCS is currently hiring for a skilled Machine Learning Engineer. This opportunity offers an excellent chance to work in a dynamic and innovative environment. Please find the job description (JD) outlined below.

Experience : 10 - 16 years

Location :Pan India

Required skills:

Deep learning Frameworks (PyTorch, TensorFlow), Gen AI, LLM Fine-tuning, Deep learning Frameworks (PyTorch, TensorFlow), Gen AI, LLM Fine-tuning,

Gen AI Architectures (Transformers), Model Optimization and Performance Tuning

Builds and fine-tunes cutting-edge deep learning and generative AI models, particularly LLMs, for domain-specific AI applications. Requires expertise in deep learning frameworks and generative techniques to fine-tune and optimize high-performing models.