Sr. Data Scientist (AI/ML, Deep learning)

AI Industry

Sr. Data Scientist (AI/ML, Deep learning)

Peak Hire Solutions

Company

Home

Sr. Data Scientist (AI/ML, Deep learning)

at AI Industry

Agency job

via Peak Hire Solutions

5 - 12 yrs

₹20L - ₹46L / yr

Mumbai, Bengaluru (Bangalore), Hyderabad, Gurugram

Skills

Data Science

Artificial Intelligence (AI)

Machine Learning (ML)

Generative AI

Deep Learning

Python

PyTorch

TensorFlow

JAX

Large Language Models (LLM)

Retrieval Augmented Generation (RAG)

MLOps

Docker

Kubernetes

Spark

CI/CD

RLHF (Reinforcement Learning from Human Feedback)

Large Language Models (LLM) tuning

Vector database

Review Criteria

Strong Senior Data Scientist (AI/ML/GenAI) Profile
5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

CV Attachment is mandatory
Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
Are you okay with 3 Days WFO?
Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

Own the full ML lifecycle: model design, training, evaluation, deployment
Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
Build agentic workflows for reasoning, planning, and decision-making
Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
Collaborate with product and engineering teams to integrate AI models into business applications
Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

5+ years of experience in designing, deploying, and scaling ML/DL systems in production
Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
Strong software engineering background with experience in testing, version control, and APIs
Proven ability to balance innovation with scalable deployment
B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
Bonus: Open-source contributions, GenAI research, or applied systems at scale

Review Criteria

Strong Senior Data Scientist (AI/ML/GenAI) Profile
5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

CV Attachment is mandatory
Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
Are you okay with 3 Days WFO?
Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Responsibilities:

Own the full ML lifecycle: model design, training, evaluation, deployment
Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
Build agentic workflows for reasoning, planning, and decision-making
Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
Collaborate with product and engineering teams to integrate AI models into business applications
Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

5+ years of experience in designing, deploying, and scaling ML/DL systems in production
Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
Strong software engineering background with experience in testing, version control, and APIs
Proven ability to balance innovation with scalable deployment
B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
Bonus: Open-source contributions, GenAI research, or applied systems at scale

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A graphic design qualification or similar

Principal Software Engineer

at Dremio

4 recruiters

Posted by Kiran B

Hyderabad, Bengaluru (Bangalore)

15 - 20 yrs

Best in industry

Java

Data Structures

Algorithms

Multithreading

Problem solving

+7 more

About the Role

The Dremio India team owns the DataLake Engine along with Cloud Infrastructure and services that power it. With focus on next generation data analytics supporting modern table formats like Iceberg, Deltalake, and open source initiatives such as Apache Arrow, Project Nessie and hybrid-cloud infrastructure, this team provides various opportunities to learn, deliver, and grow in career. We are looking for technical leaders with passion and experience in architecting and delivering high-quality distributed systems at massive scale.

Responsibilities & ownership

Lead end-to-end delivery and customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product
Lead and mentor others about concurrency, parallelization to deliver scalability, performance and resource optimization in a multithreaded and distributed environment
Propose and promote strategic company-wide tech investments taking care of business goals, customer requirements, and industry standards
Lead the team to solve complex, unknown and ambiguous problems, and customer issues cutting across team and module boundaries with technical expertise, and influence others
Review and influence designs of other team members
Design and deliver architectures that run optimally on public clouds like GCP, AWS, and Azure
Partner with other leaders to nurture innovation and engineering excellence in the team
Drive priorities with others to facilitate timely accomplishments of business objectives
Perform RCA of customer issues and drive investments to avoid similar issues in future
Collaborate with Product Management, Support, and field teams to ensure that customers are successful with Dremio
Proactively suggest learning opportunities about new technology and skills, and be a role model for constant learning and growth

Requirements

B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
Fluency in Java/C++ with 15+ years of experience developing production-level software
Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models and their use in developing distributed and scalable systems
8+ years experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
Subject Matter Expert in one or more of query processing or optimization, distributed systems, concurrency, micro service based architectures, data replication, networking, storage systems
Experience in taking company-wide initiatives, convincing stakeholders, and delivering them
Expert in solving complex, unknown and ambiguous problems spanning across teams and taking initiative in planning and delivering them with high quality
Ability to anticipate and propose plan/design changes based on changing requirements
Passion for quality, zero downtime upgrades, availability, resiliency, and uptime of the platform
Passion for learning and delivering using latest technologies
Hands-on experience of working projects on AWS, Azure, and GCP
Experience with containers and Kubernetes for orchestration and container management in private and public clouds (AWS, Azure, and GCP)
Understanding of distributed file systems such as S3, ADLS or HDFS
Excellent communication skills and affinity for collaboration and teamwork

About the Role

Responsibilities & ownership

Lead end-to-end delivery and customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product
Lead and mentor others about concurrency, parallelization to deliver scalability, performance and resource optimization in a multithreaded and distributed environment
Propose and promote strategic company-wide tech investments taking care of business goals, customer requirements, and industry standards
Lead the team to solve complex, unknown and ambiguous problems, and customer issues cutting across team and module boundaries with technical expertise, and influence others
Review and influence designs of other team members
Design and deliver architectures that run optimally on public clouds like GCP, AWS, and Azure
Partner with other leaders to nurture innovation and engineering excellence in the team
Drive priorities with others to facilitate timely accomplishments of business objectives
Perform RCA of customer issues and drive investments to avoid similar issues in future
Collaborate with Product Management, Support, and field teams to ensure that customers are successful with Dremio
Proactively suggest learning opportunities about new technology and skills, and be a role model for constant learning and growth

Requirements

B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
Fluency in Java/C++ with 15+ years of experience developing production-level software
Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models and their use in developing distributed and scalable systems
8+ years experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
Subject Matter Expert in one or more of query processing or optimization, distributed systems, concurrency, micro service based architectures, data replication, networking, storage systems
Experience in taking company-wide initiatives, convincing stakeholders, and delivering them
Expert in solving complex, unknown and ambiguous problems spanning across teams and taking initiative in planning and delivering them with high quality
Ability to anticipate and propose plan/design changes based on changing requirements
Passion for quality, zero downtime upgrades, availability, resiliency, and uptime of the platform
Passion for learning and delivering using latest technologies
Hands-on experience of working projects on AWS, Azure, and GCP
Experience with containers and Kubernetes for orchestration and container management in private and public clouds (AWS, Azure, and GCP)
Understanding of distributed file systems such as S3, ADLS or HDFS
Excellent communication skills and affinity for collaboration and teamwork

Senior Salesforce Developer

at Cohesity

1 video

2 recruiters

Posted by Rashika BS

Remote, Bengaluru (Bangalore)

4 - 12 yrs

₹20L - ₹25L / yr

Salesforce

Cloud Computing

Platform as a Service (PaaS)

BE/B.tech Computer science or related degree.
Salesforce Platform Developer II certification is highly desired
4+ years of experience programming on the Salesforce platform
Deep understanding of the Salesforce.com product suite including Sales Cloud, Platform and the App Exchange
Extensive development experience with Apex Classes, Triggers, Visual-force, Lightning, Batch Apex, SOQL, Salesforce API's and other programmatic solutions on the Salesforce platform
Firm understanding of advanced design patterns and engineering best practices
Familiarity with agile software delivery methodologies such as Scrum
Background in development of enterprise systems as part of a complete software product life-cycle
An effective communicator that works well in a collaborative team setting
Natural problem solver who enjoys identifying ways to improve our customer's overall experience
Prior experience in SaaS or subscription-based companies is a plus
Familiar with integration applications such as Boomi, Informatica and Mulesoft preferred
Working knowledge of Web and JavaScript frameworks are a plus Self-starter, self-motivated, able to work independently, prioritize effectively, and perform multiple tasks under minimal supervision.

BE/B.tech Computer science or related degree.
Salesforce Platform Developer II certification is highly desired
4+ years of experience programming on the Salesforce platform
Deep understanding of the Salesforce.com product suite including Sales Cloud, Platform and the App Exchange
Extensive development experience with Apex Classes, Triggers, Visual-force, Lightning, Batch Apex, SOQL, Salesforce API's and other programmatic solutions on the Salesforce platform
Firm understanding of advanced design patterns and engineering best practices
Familiarity with agile software delivery methodologies such as Scrum
Background in development of enterprise systems as part of a complete software product life-cycle
An effective communicator that works well in a collaborative team setting
Natural problem solver who enjoys identifying ways to improve our customer's overall experience
Prior experience in SaaS or subscription-based companies is a plus
Familiar with integration applications such as Boomi, Informatica and Mulesoft preferred
Working knowledge of Web and JavaScript frameworks are a plus Self-starter, self-motivated, able to work independently, prioritize effectively, and perform multiple tasks under minimal supervision.