Senior Machine Learning Engineer

2 weeks ago

Bengaluru, Karnataka, India Antal TECH jobs Full time ₹ 12,00,000 - ₹ 30,00,000 per year

We are partnering with a
fast-growing AI-driven technology company
that is transforming one of the world's largest and most traditional industries through advanced machine learning and automation. The company is building complex data and engineering workflows powered by cutting-edge AI — with
LLMs, NLP, and Computer Vision
at the core.

As a
Senior Machine Learning Engineer
, you will be a key technical owner driving end-to-end development of intelligent systems — from research and experimentation to production deployment. You'll collaborate with product, data, and engineering teams to design and scale solutions that solve challenging real-world problems.

This is an exciting opportunity to join a high-growth environment where your work will directly impact digital transformation at a global scale.

Key Responsibilitie

  • **s

Research, design, and devel
op advanced AI models — from small classifiers to fine-tuned LLMs tailored for specific business use case
- s.Build an
d deploy scalable NLP, CV, and RAG-based pipelin
es for extracting and structuring unstructured dat
- a.Optimize performance, accuracy, and latency of deployed AI systems in productio
- n.Operationaliz
e efficient dataset creation, preprocessing, and management workflo
w
- s.Collaborate closely with cross-functional teams — engineering, data annotation, product, and leadership — to deliver AI-powered feature
- s.Drive best practices i
n AI/ML development, model monitoring, and experimentati**
o
- n.Mentor junior engineers and help establish strong ML engineering standards within the tea

m.

Required Qualificati

  • ons

Bachelor's or Master's degree in Computer Science, Engineering, or related fi
- eld.5+ years of hands-on experi
ence in machine learning and data scie
- nce.Proven experience w
ith fine-tuning
LLMs, build
ing RAG pipel
ines, and integrating off-the-shelf or open-source L
- LMs.Strong understanding
of transformer architect
ures, embeddings, and optimization techniq
- ues.Demonstrated expertise
in
NLP (semantic search, entity recognition, text classification, summarizati
- on).Experience w
ith Computer Vi
sion (OCR, object detection, image classificati
- on).Strong coding skills
in Py
thon and familiarity with ML libraries such
as PyTorch, TensorFlow, Hugging Face, Spacy, NLTK, and Scikit-l
e
- arn.Hands-on experience manag
ing large data
sets and deploying AI models in production environme
- nts.Solid understanding
of data pipelines, APIs, and model lifecycle manage
m
- ent.Excellent problem-solving, analytical, and communication ski

lls.

Preferred Qualifica

  • tions

Experience
with cloud-based ML pla
tforms (AWS, GCP, or Azure) and containerization tools (Kubernetes, Do
- cker).Knowled
ge of MLOps pra
ctices including CI/CD, model monitoring, and versi
- oning.Experience
with vector dat
abases (FAISS, Pinecone, Chroma) and orchestration tools (Airflow, ML
- flow).Exposu
re to web application archit
ecture (Django, FastAPI) or AWS services (Bedrock, SageM
- aker).Prior experien
ce in OCR, PDF p
arsing, or document AI sy
- stems.Contributio
ns to open-source pr
ojects or publications in AI/ML res
- earch.Experience worki
ng in high-growth, global product enviro
n

ments.

What's o

  • n Offer

Competitive compensation with performance-bas
- ed bonusESOPs and comprehensive health insurance (including family c
- overage)Flexible working hours and hybr
- id setupUnlimited paid
- time offLearning and upskillin
- g budgetOpportunity to grow in a rapidly scaling, innovation-focused

company

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