
Drive the design, automation, and reliability of Albert Invent’s core platform to support scalable, high-performance AI applications.
You will partner closely with Product Engineering and SRE teams to ensure security, resiliency, and developer productivity while owning end-to-end service operability.
Key Responsibilities
- Own the design, reliability, and operability of Albert’s mission-critical platform.
- Work closely with Product Engineering and SRE to build scalable, secure, and high-performance services.
- Plan and deliver core platform capabilities that improve developer velocity, system resilience, and scalability.
- Maintain a deep understanding of microservices topology, dependencies, and behavior.
- Act as the technical authority for performance, reliability, and availability across services.
- Drive automation and orchestration across infrastructure and operations.
- Serve as the final escalation point for complex or undocumented production issues.
- Lead root-cause analysis, mitigation strategies, and long-term system improvements.
- Mentor engineers in building robust, automated, and production-grade systems.
- Champion best practices in SRE, reliability, and platform engineering.
Must-Have Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 4+ years of strong backend coding in Python or Node.js.
- 4+ years of overall software engineering experience, including 2+ years in an SRE / automation-focused role.
- Strong hands-on experience with Infrastructure as Code (Terraform preferred).
- Deep experience with AWS cloud infrastructure and distributed systems (microservices, APIs, service-to-service communication).
- Experience with observability systems – logs, metrics, and tracing.
- Experience using CI/CD pipelines (e.g., CircleCI).
- Performance testing experience using K6 or similar tools.
- Strong focus on automation, standards, and operational excellence.
- Experience building low-latency APIs (< 200ms response time).
- Ability to work in fast-paced, high-ownership environments.
- Proven ability to lead technically, mentor engineers, and influence engineering quality.
Good-to-Have Skills
- Kubernetes and container orchestration experience.
- Observability tools such as Prometheus, Grafana, OpenTelemetry, Datadog.
- Experience building Internal Developer Platforms (IDPs) or reusable engineering frameworks.
- Exposure to ML infrastructure or data engineering pipelines.
- Experience working in compliance-driven environments (SOC2, HIPAA, etc.).

About Albert Invent
About
Albert Invent is a cutting-edge R&D software company that’s built by scientists, for scientists. Their cloud-based platform unifies lab data, digitises workflows and uses AI/ML to help materials and chemical R&D teams invent faster and smarter. With thousands of researchers in 30+ countries already using the platform, Albert Invent is helping transform how chemistry-led companies go from idea to product.
What sets them apart: built specifically for chemistry and materials science (not generic SaaS), with deep integrations (ELN, LIMS, AI/ML) and enterprise-grade security and compliance.
Tech stack
Candid answers by the company
Their platform brings together electronic lab notebook (ELN) functionality, laboratory information management systems (LIMS), inventory tracking, AI/ML for molecular and formulation predictions, and process automation — all in one end-to-end solution.
Connect with the team
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Job Requirements:
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Job Description
Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience
About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
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Competitive Intelligence Platforms.
The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
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You will be responsible for all the processes from data collection, and
pre-processing, to training models and deploying them to production.
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ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
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thought leadership articles
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To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT, RoBERTa, XLNet
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
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➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
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Qualifications
➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
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➔ At least 2 years' experience in designing and developing
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plus
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1. Total Experience.
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Ksolves India Limited
* We're an IPO launched public-listed company on National Stock Exchange, India's largest Stock Exchange
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* We offer development services for high-end technologies such as Apache Cassandra, Apache Spark, Apache NiFi, Apache Kafka, Apache Hadoop, Salesforce, Data Lake, Machine Learning, Artificial Intelligence, DevOps, Node.js, React.js, AngularJS, iOS, Android, Penetration Testing etc.
* We're a NASSCOM member company
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* Ksolves was conceived by Ratan Srivastava after a successful run as a blue-collared professional in several top IT companies and acing a top performing freelancer hustle. Eventually, his passion for entrepreneurship struck and he started Ksolves from the ground up. Along the way, he onboarded several of his trusted colleagues/friends from his past IT life who trusted him in his vision and joined in building up Ksolves to what it is today
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3. Strong development (coding), debugging, tuning skills.
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