Job Summary:

Stack Intel is a team of enthusiasts, and self-motivated technocrats. We are working on cutting-edge technologies – building Cloud Native Solutions for Startups to Fortune 500 Companies. We develop compelling, disruptive and captivating Cloud-Native Software Solutions with Integrity, Creativity, Innovation and Strategy in collaboration with industry-leading companies and highly-motivated startups – “To make the world a better place”.

We are looking for aspiring and driven candidates to join our Artificial Intelligence Team and enrich our state of the art products with innovative and outstanding features & technologies. The immediate need is for an AI/ML Engineer who has experience in some or all of the following areas & tools/libraries:
Machine Learning, Deep Learning, Transfer Learning, Automatic Speech Recognition Systems, Language Translation Engines, Facial Recognition Systems, RNNs, CNNs, TensorFlow, PyTorch, OpenCV, OpenNMT, BERT, YOLO, DeepSpeech, Keras, and Pandas.

We’re looking for someone who is a good strategist, problem solver, self-driven, motivated to learn and can take this role and make it their own by bringing ideas, enthusiasm, and expertise to the table, while truly commanding their position within the company.

Location: PIA Road, near Wapda Town, Lhr
Timings: 09 am – 06 pm
Experiences: 2 – 4 Years

Job Responsibilities:

– Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy
– Understand company and client challenges and how integrating AI capabilities can help create effective solutions
– Analyze and explain AI and ML solutions while setting and maintaining high ethical standards and practices

Required Qualification & Technical Skills :

– Master’s/Bachelor’s degree in Computer Sciences, Software Engineering, Data Sciences or related fields.
Proven experience within the domain of Natural Language Processing, Machine Learning, Deep Learning, ASR Systems, and Python (and its libraries).

– 3+ years working in the industry in some combination of ML engineering, data scientist, data engineer, and data analyst roles

– Strong proficiency in Python – Production Python (e.g. object-oriented design, build systems)

– Experience developing new machine learning models and deploying them to production.

– Understands common pitfalls and challenges of implementing ML in the industry

– Familiarity with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like sci-kit-learn)

– Knows how to determine if a model is working as expected

– Fundamental CS knowledge (e.g. data structures, algorithms)

– Some web-based engineering experience (e.g. APIs, queues)

– Some ML Ops knowledge

– Experience with the Python analytics tools suites (Pandas, NumPy, Jupyter notebooks, etc.)

– Experience with machine learning, statistical model building, and hypothesis testing.

– Experience writing and maintaining production-level code.

-Strong documentation skills.

– Experience with program leadership, governance, and change enablement.
– Knowledge of searching/sorting and other basic algorithms, object-oriented programming and functional design principles, and best practice patterns.
– Experience with REST API development, NoSQL design, RDBMS design and optimizations.

Good to have:

– Knowledge of cutting edge Python Machine Learning Libraries
– Experience with Language Transcription and Translation Systems
– Hands-on experience with Object/Text Detection and Facial Recognition Systems

APPLY HERE