What Jobs are available for Machine Learning Engineering in Delhi?
Showing 42 Machine Learning Engineering jobs in Delhi
Artificial Intelligence Intern
Posted 8 days ago
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About Us
We’re an AI-first consultancy reimagining how organisations work. Our mission is to help businesses integrate Artificial Intelligence into their core operations — making them faster, smarter, and more efficient. We work across industries such as construction, manufacturing, and professional services, combining strategy, data, and automation to deliver measurable impact.
We believe AI should empower everyone. Our work is built on diversity of thought, backgrounds, and experiences — because innovation thrives where different perspectives meet.
About the Role
We’re looking for a driven AI Intern to join our team. This is an opportunity to work hands-on with our consultants, data scientists, and automation experts to design and deploy AI solutions that solve real business challenges. You’ll gain experience that bridges technical skill and commercial impact — from training AI models to translating data into strategy.
What You’ll Do
- Support the design, testing, and optimisation of AI and automation models.
- Work with real business data to uncover inefficiencies and improvement opportunities.
- Assist in training, validating, and deploying machine learning models.
- Collaborate with consulting teams to turn analytics into actionable recommendations.
- Research emerging AI tools and techniques relevant to business process transformation.
- Help maintain and enhance internal AI knowledge bases and data pipelines.
What We’re Looking For
- Studying Computer Science, Data Science, Engineering, or a related field.
- Solid knowledge of Python and AI/ML libraries (pandas, scikit-learn, PyTorch, TensorFlow).
- Strong analytical thinking and attention to detail.
- Interest in automation, process design, or digital transformation.
- Excellent communication skills — able to explain technical insights clearly.
- Curiosity, adaptability, and a proactive approach to learning.
Nice to Have
- Experience with process mining, workflow tools, or data engineering.
- Knowledge of NLP, generative AI, or large language models.
- Familiarity with Power BI, Tableau, or cloud platforms (AWS, Azure, GCP).
What You’ll Gain
- Practical experience applying AI in real consulting projects.
- Mentorship from experienced consultants and data scientists.
- Opportunity to contribute to projects with visible client impact.
- A deep understanding of how AI drives measurable business ROI.
- Potential for a full-time offer based on performance.
Diversity, Equity & Inclusion
At BPR AI we’re committed to building an inclusive environment where everyone can thrive. We welcome applicants from all backgrounds, regardless of age, gender, ethnicity, disability, sexual orientation, religion, or socioeconomic status. We care about who you are, what you can do, and the perspective you bring.
Details
Location: Remote (India)
Duration: 3–6 months
Start Date: Flexible
Compensation: Competitive internship stipend
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Senior Artificial Intelligence Engineer
Posted 8 days ago
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Experience : 5+ years of hands-on experience in software or AI/ML development, ideally with some exposure to leading projects or mentoring others.
About The Role
We are setting up a dedicated AI department at go4WorldBusiness to power the next generation of intelligent, AI-driven products and systems that transform how global businesses connect.
As a Senior AI Engineer , you won’t just be building models—you’ll be shaping how AI is integrated across our platform. You’ll lead by example in designing and deploying robust systems, work with both traditional ML and modern LLM-based architectures, and help set the foundation for how AI is done here—technically and culturally.
This is a rare opportunity for someone who wants to stay hands-on with code while also stepping into a role that has real influence, responsibility, and long-term ownership.
What You’ll Do Most Of The Time
- Design, build, and ship production-grade AI systems—ranging from classical ML to modern LLM-powered features.
- Lead AI projects from idea to execution, including architecture, modeling, evaluation, and deployment.
- Work with unstructured data, embeddings, vector databases, and real-world data problems.
- Evaluate and integrate LLM-based tools like OpenAI, LangChain, HuggingFace, or Ollama where appropriate.
- Collaborate with product and engineering teams to deliver AI capabilities that have real user and business impact.
- Mentor junior AI engineers and contribute to a culture of fast learning, clean code, and clear thinking.
- Stay on top of advancements in AI/ML and help guide our strategy with technical insight.
What You’ll Need To Qualify
- Excellent communication and critical thinking—you're as comfortable explaining your decisions as you are making them.
- Proficiency in Python and familiarity with modern AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).
- Experience building and deploying ML or LLM-based systems in production environments.
- Strong understanding of ML workflows, vector search, APIs, and data pipelines.
- Prior experience taking ownership of projects or mentoring team members.
Preferred Skills
You don’t need to know all of these — but you should be excited to learn what you don’t:
- Hands-on with OpenAI, HuggingFace, LangChain, or other LLM-based frameworks
- Experience with FastAPI, Docker, or MLOps tools like MLflow and Airflow
- Comfort working with vector databases (e.g., FAISS, Pinecone, Qdrant)
- Familiarity with prompt engineering, retrieval-augmented generation (RAG), and evaluation of generative outputs
- Ability to balance trade-offs between performance, cost, and complexity in AI deployments
What You’ll Get
- A chance to lead and build in an AI-first team working on impactful, real-world challenges
- Opportunity to grow into a leadership role while staying close to the code
- Industry-best salary with strong growth upside
- Mentorship, autonomy, and ownership from day one
- 5-day work week
- Annual loyalty bonus
- Six-monthly profit sharing bonus
- PF and Gratuity
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Senior Lecturer - Computer Science & Artificial Intelligence
Posted 18 days ago
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Data Science Apprentice
Posted 25 days ago
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As a Data Science Apprentice, your responsibilities will include assisting senior data scientists in data collection, cleaning, and preprocessing. You will help in exploring datasets to identify patterns and insights using various statistical techniques. You will also support the development and testing of machine learning models under supervision. This role involves working with large datasets and utilizing programming languages like Python or R, along with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
You will gain exposure to data visualization tools and techniques to communicate findings effectively. The apprenticeship includes learning about experimental design, model evaluation, and deployment strategies. A strong analytical mindset, a curious nature, and a willingness to learn are paramount. You will participate in team meetings, contribute to project discussions, and present your findings to the team.
This is a fully remote apprenticeship, allowing you to work comfortably from your chosen location. We are looking for candidates who are eager to learn, possess strong problem-solving skills, and have a foundational understanding of statistics and programming. This program offers a clear pathway to potential full-time opportunities for high-performing apprentices. This is an ideal role for recent graduates or individuals looking to transition into the data science field.
Key Responsibilities:
- Assist in data cleaning, preprocessing, and feature engineering.
- Perform exploratory data analysis to uncover trends and insights.
- Support the development and testing of machine learning models.
- Utilize Python or R for data analysis and model building.
- Create data visualizations to communicate findings.
- Collaborate with senior data scientists on project tasks.
- Learn and apply data science methodologies and tools.
- Participate in code reviews and team discussions.
- Document analysis and model development processes.
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering) or equivalent practical experience.
- Basic understanding of statistics, probability, and linear algebra.
- Familiarity with programming concepts, preferably in Python or R.
- Enthusiasm for data science and machine learning.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Eagerness to learn and adapt in a remote environment.
- Previous exposure to data analysis tools or projects is a plus.
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AVP - Data Science Lead
Posted 4 days ago
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Graduate Trainee - Data Science
Posted 1 day ago
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Graduate Trainee - Data Science
Posted 7 days ago
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Program Highlights:
- Work on challenging data science projects from data collection and cleaning to model development and deployment.
- Gain exposure to a wide range of data science tools and technologies, including Python, R, SQL, and various machine learning libraries.
- Receive mentorship from senior data scientists, who will guide your learning and career development.
- Participate in workshops and training sessions covering essential data science concepts and techniques.
- Collaborate with cross-functional teams in a dynamic, remote-first environment.
- Develop skills in data visualization, statistical analysis, and machine learning algorithms.
- Contribute to the development of data-driven insights that inform business decisions.
- Understand the ethical considerations and best practices in data science.
Eligibility Criteria:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong foundational knowledge of statistics, probability, and calculus.
- Proficiency in at least one programming language, preferably Python or R.
- Familiarity with database concepts and SQL is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Eagerness to learn and adapt in a fast-paced remote setting.
- Must be legally authorized to work in the specified region (though the role is remote).
This internship is ideal for individuals who are curious, driven, and eager to apply their academic knowledge to solve complex problems using data. You will be part of a supportive virtual team culture that encourages innovation and continuous learning. Our client values individuals who are proactive, detail-oriented, and possess a strong desire to grow within the data science domain. This is a fantastic stepping stone for launching your career, offering invaluable experience and networking opportunities in the exciting field of data science, all from the comfort of your remote workspace. We are committed to providing a rich learning experience that bridges the gap between academia and industry.
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Director of Data Science
Posted 26 days ago
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Company Overview
At Talent Nexa Consulting, we specialize in sourcing top-tier talent for tech-driven companies, focusing on technology and product leadership hiring. We provide customized hiring solutions, ensuring a perfect cultural alignment across industries such as AI & Machine Learning, Cloud Computing, and E-commerce. Our mission is to connect exceptional talent with the right opportunities, optimizing teams for tech success. Headquartered in Noida, we pride ourselves in transforming possibilities into realities through strategic, personalized recruitment.
Job Overview
We are seeking a highly experienced Director of Data Science to join our dynamic team remotely. This senior-level position, based in Delhi, requires a candidate with 12 to 15 years of experience. The role involves leading data science initiatives and driving innovation within the company and for our clients. The successful candidate will demonstrate expert proficiency in deep learning and development of large language models.
Qualifications and Skills
- Experience in deep learning with a proven track record (Mandatory skill).
- Expertise in LLMs, with a deep understanding of their architecture and application (Mandatory skill).
- Proven research skills with a strong background in theoretical and applied methodologies (Mandatory skill).
- Proficiency in Retrieval-Augmented Generation (RAG) techniques and their implementation in complex projects.
- Extensive experience in data science, including knowledge of modern approaches and frameworks.
- Strong proficiency in TensorFlow and PyTorch for developing and deploying scalable models.
- Ability to strategically manage and lead a team to achieve data-driven goals and innovative solutions.
- Excellent communication skills for effective collaboration with cross-functional teams and stakeholders.
Roles and Responsibilities
- Lead the data science department, driving strategic initiatives and aligning with the company's business goals.
- Develop and enhance AI models using deep learning techniques and large language models.
- Collaborate with engineering and product teams to integrate data-based innovations into products and services.
- Implement best practices and advancements in data science to improve decision-making procedures.
- Ensure proper utilization of data science tools and platforms to generate business insights and enhance performance.
- Oversee research activities to explore new methodologies and improve existing strategies in data science.
- Mentor and nurture a team of data scientists, encouraging professional growth and knowledge sharing.
- Communicate complex data concepts in clear terms to non-technical stakeholders and executive management.
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Remote Senior Python Developer - Data Science
Posted 16 days ago
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Key Responsibilities:
- Design, develop, and deploy scalable data pipelines and ETL processes using Python.
- Build, train, and optimize machine learning models for various applications.
- Develop and maintain APIs for data access and model serving.
- Collaborate with data scientists to implement and productionize statistical models and algorithms.
- Optimize data infrastructure and code for performance, scalability, and reliability.
- Implement data warehousing solutions and database management strategies.
- Ensure data quality, integrity, and security across all systems.
- Write clean, well-documented, and maintainable code.
- Participate in code reviews and contribute to architectural design discussions.
- Stay current with advancements in Python, data science, machine learning, and cloud technologies.
- Mentor junior engineers and share best practices in software development and data engineering.
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field, or equivalent practical experience.
- 5+ years of professional experience in Python development, with a strong focus on data-intensive applications.
- Extensive experience with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Proficiency in SQL and experience with various database systems (e.g., PostgreSQL, MySQL, NoSQL).
- Experience with cloud platforms (AWS, Azure, GCP) and related data services.
- Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Excellent problem-solving skills and the ability to work effectively in a remote, agile environment.
- Strong communication and collaboration abilities.
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Machine Learning Engineer
Posted 8 days ago
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